Google has updated its AI-powered weather model to improve forecast accuracy by incorporating a wider range of input data, similar to how traditional weather forecasting systems work.
Source: Ars Technica
Google has released an update to its artificial intelligence weather prediction model that aims to deliver better forecast accuracy. The improvement comes from expanding the types of input data the system uses.
Like conventional weather models, the updated AI system benefits from having access to more diverse information sources. This approach mirrors established methods used in traditional meteorology while leveraging machine learning capabilities.
This report was prepared using information from Ars Technica. View original listing →
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